معرفی
Alexander Jung serves as Associate Professor in the Department of Computer Science at Aalto University's School of Science. His academic appointment spans multiple research areas including Artificial Intelligence and Machine Learning (AIML) and Large-scale Computing and Data Analysis (LSCA). Jung maintains an active research profile with 85 publications to date and significant external collaborations across Europe.
His research focuses on foundational questions in machine learning, particularly addressing when and how machine learning is possible for specific applications. Key interest areas include statistical learning theory, information theory, convex optimization, distributed algorithms, and network science with emphasis on explainable AI systems. Jung's work directly contributes to UN Sustainable Development Goals through technological innovation.
Analysis of his recent publications reveals a strong trend toward trustworthy AI systems, federated learning frameworks, and practical applications of machine learning in domains ranging from educational data analysis to urban walkability studies. His research bridges theoretical foundations with real-world implementation challenges.
Scientific Awards:
- Amazon Machine Learning Research Award (2018)
- Best Student Paper Award (2011)
- Promotio Sub Auspiciis Res Publicae (2012)
Jung actively supervises doctoral candidates and serves on examination committees internationally, including engagements at KTH Stockholm and EPFL. His grant activity includes participation in Swedish Research Council review panels for cyber and information security funding. He maintains external positions as advisor for Miils.com since 2018 and previously taught at Integrify (2019-2020).
His research network spans multiple institutions with significant connections to European academic centers. Jung contributes to academic discourse through editorial board memberships, conference committee work, and as a frequent reviewer for scientific journals.
